edu.ucla.stat.SOCR.distributions

Class GeneralCauchyDistribution

java.lang.Object

edu.ucla.stat.SOCR.core.SOCRValueSettable

edu.ucla.stat.SOCR.core.Distribution

edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution

All Implemented Interfaces:

IValueSettable, Pluginable, java.util.Observer

public class GeneralCauchyDistribution
extends Distribution

A Java implmentation of the General Cauchy distribution with specified alpha & beta parameters. http://en.wikipedia.org/wiki/Cauchy_distribution .

Field Summary

Fields inherited from class edu.ucla.stat.SOCR.core.Distribution

applet, CONTINUOUS, DISCRETE, MAXMGFXVAL, MAXMGFYVAL, MINMGFXVAL, MIXED, name

Constructor Summary

Constructors

Constructor and Description
GeneralCauchyDistribution() Default constructor: creates a Cauchy distribution with alpha & beta parameters equal to 0 & 1
GeneralCauchyDistribution(double a, double b) General Constructor: creates a Cauchy distribution with specified alpha & beta parameters

Method Summary

Methods

Modifier and Type	Method and Description
double	getCDF(double x) Compute the cumulative distribution function.
double	getDensity(double x) Define the beta getDensity function
double	getLeft() Get the left paramter
double	getMaxDensity() Compute the maximum getDensity
double	getMedian() Compute the mean in closed form
java.lang.String	getOnlineDescription() This method returns an online description of this distribution.
double	getRight() Get the right parameter
double	getSpread() Compute the Spread in closed form
void	initialize() used for some subclass to initialize before being used
void	setLeft(double a) Sets the left parameter
void	setParameters(double a, double b) Set the parameters, compute the normalizing constant c, and specifies the interval and partition
void	setRight(double b) Sets the right parameter
void	valueChanged()

Methods inherited from class edu.ucla.stat.SOCR.core.Distribution

addObserver, betaCDF, comb, factorial, findGFRoot, findRoot, gamma, gammaCDF, getDisplayPane, getDomain, getFailureRate, getGFDerivative, getGFSecondDerivative, getInstance, getLocalHelp, getMean, getMean, getMGF, getMgfDomain, getName, getPGF, getPGFDomain, getQuantile, getSampleMoment, getSD, getSOCRDistributionFunctors, getSOCRDistributions, getType, getVariance, getVariance, inverseCDF, logGamma, paramEstimate, perm, sampleMean, sampleVar, setApplet, setDomain, setDomain, setMGFDomain, setMGFDomain, setMGFParameters, setMGFParameters, setMGFParameters, setMGFParameters, setParameters, setPGFDomain, setPGFDomain, setPGFParameters, setPGFParameters, setPGFParameters, setPGFParameters, simulate, update, valueChanged

Methods inherited from class edu.ucla.stat.SOCR.core.SOCRValueSettable

createComponentSetter, createValueSetter, createValueSetter, createValueSetter, createValueSetter, getComponentSetter, getComponentSetters, getValueSetter, getValueSetters

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

GeneralCauchyDistribution

public GeneralCauchyDistribution(double a,
                         double b)

General Constructor: creates a Cauchy distribution with specified alpha & beta parameters

GeneralCauchyDistribution

public GeneralCauchyDistribution()

Default constructor: creates a Cauchy distribution with alpha & beta parameters equal to 0 & 1

Method Detail

initialize

public void initialize()

Description copied from class: Distribution

used for some subclass to initialize before being used

Overrides:

initialize in class Distribution

valueChanged

public void valueChanged()

Overrides:

valueChanged in class Distribution

setParameters

public void setParameters(double a,
                 double b)

Set the parameters, compute the normalizing constant c, and specifies the interval and partition

setLeft

public void setLeft(double a)

Sets the left parameter

setRight

public void setRight(double b)

Sets the right parameter

getLeft

public double getLeft()

Get the left paramter

getRight

public double getRight()

Get the right parameter

getDensity

public double getDensity(double x)

Define the beta getDensity function

Specified by:

getDensity in class Distribution

getMaxDensity

public double getMaxDensity()

Compute the maximum getDensity

Overrides:

getMaxDensity in class Distribution

getMedian

public double getMedian()

Compute the mean in closed form

Overrides:

getMedian in class Distribution

getSpread

public double getSpread()

Compute the Spread in closed form

getCDF

public double getCDF(double x)

Compute the cumulative distribution function. The Cauchy CDF is built into the superclass Distribution

Overrides:

getCDF in class Distribution

getOnlineDescription

public java.lang.String getOnlineDescription()

This method returns an online description of this distribution.

Overrides:

getOnlineDescription in class Distribution